Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of dendrogram reconstruction

[EN] Dendrograms are a way to represent relationships between organisms. Nowadays, these are inferred based on the comparison of genes or protein sequences by taking into account their differences and similarities. The genetic material of choice for the sequence alignments (all the genes or sets of...

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Detalles Bibliográficos
Autores: Gamermann, Daniel, Montagud, Arnau, Conejero, J. Alberto|||0000-0003-3681-7533, Fernández de Córdoba, Pedro|||0000-0002-0347-7280, Urchueguía Schölzel, Javier Fermín|||0000-0002-3054-3431
Tipo de recurso: artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/160086
Acceso en línea:https://riunet.upv.es/handle/10251/160086
Access Level:acceso abierto
Palabra clave:Dendrograms
Statistical analysis
MATEMATICA APLICADA
FISICA APLICADA
17.- Fortalecer los medios de ejecución y reavivar la alianza mundial para el desarrollo sostenible
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
Descripción
Sumario:[EN] Dendrograms are a way to represent relationships between organisms. Nowadays, these are inferred based on the comparison of genes or protein sequences by taking into account their differences and similarities. The genetic material of choice for the sequence alignments (all the genes or sets of genes) results in distinct inferred dendrograms. In this work, we evaluate differences between dendrograms reconstructed with different methodologies and for different sets of organisms chosen at random from a much larger set. A statistical analysis is performed to estimate fluctuations between the results obtained from the different methodologies that allows us to validate a systematic approach, based on the comparison of the organisms' metabolic networks for inferring dendrograms. This has the advantage that it allows the comparison of organisms very far away in the evolutionary tree even if they have no known ortholog gene in common. Our results show that dendrograms built using information from metabolic networks are similar to the standard sequence-based dendrograms and can be a complement to them.